End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Enhancing Explainability and Streamlining ML Prototyping
This chapter explores tools and methods to improve model explainability in machine learning, particularly through the use of Lime with a churn model. It also introduces applied machine learning prototypes (AMPs) to simplify the deployment of industry-specific use cases for data scientists and engineers.
Transcript
Play full episode
